Skip to main content

Table 2 Summary of findings for studies testing the effect of the objective built environment on intervention-related physical activity outcomes (n = 20)

From: The association between the built environment and intervention-facilitated physical activity: a narrative systematic review

Author (year)

Study location

Sample design

Study design

Intervention details

Built environment measures included in analysis

Physical activity measures examined in relation to the built environment

Summary of key findings

[Potential mechanism]a

Carter et al. (2017) [ 32]

Leicester City/ Leicestershire County, UK (urban & rural)

At-risk of type 2 diabetes mellitus, 18–74 years

Non-probability sample

Analytical n = 706

Two-arm RM RCT

Arms:

1. Intervention

2. Standard care

Type: Individual

(Walking away from diabetes)

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 3 sessions (at baseline, 12 & 24 months)

800 m network buffer around home

Walkability index (walkable area, road density, footpath density, junctions, cul-de-sacs, & connected node ratio).

Accelerometer

Measured at baseline, 12, 24, & 36 months

Domain(s):

Non-specific

PA type(s):

MVPA

Steps

“Arm x walkability index” interaction significantly associated with change in total steps & purposeful steps at 36-months. However, stratified analysis found no significant associations between walkability with change in total steps in the intervention (b = − 63.38, p > .05) or control (b = 19.68, p > .05) arms nor purposeful steps in the intervention (b = 42.97, p > .05) or control (b = 25.77, p > .05) arms.

[Invariant ]

Colom et al. (2020) [ 33]

Palma de Mallorca, Spain

Overweight/obese with metabolic syndrome, 55–75 years

Non-probability sample

Analytical n = 228

Two-arm RM RCT

Arms:

1.Full intervention

2.Partial intervention

Type: Educational with individual & group sessions (PREDIMED-Plus)

Exercise sessions: No

Counselling: No

Awareness/education: Yes

Group-based activities: Yes

Length: 12 months (12 × 1 hr. one-on-one sessions, 12 telephone calls, 3 × 1 hr. group sessions)

500 m/1000 m network sausage buffer around home

Walkability index; residential density; intersection density; & land use mix

Accelerometer & self-reported

Measured at baseline, 6 & 12 months

Domain(s):

Leisure/recreation

Non-specific

PA type(s):

MVPA

Walking

“Arm x walkability” interaction significantly associated with change in accelerometer-PA.

Walkability associated with daily minutes of accelerometer-PA in intervention arm (b = 6.36, p < .05) but not control arm (b = 0.10, p > .05).[ Amplification ]

Residential density associated with daily minutes of accelerometer-PA in intervention arm (b = 5.07, p < .05) but not control arm (b = 1.95, p > .05).[ Amplification ]

Intersection density associated with daily minutes of accelerometer-PA in intervention arm (b = 6.86, p < .05) but not control arm (b = 1.38, p > .05).[ Amplification ]

Land use mix not associated with accelerometer-PA in either intervention or control arm. [ Invariant ]

Goyder et al. (2014) [ 34]

Sheffield, UK

Residents of deprived neighbourhoods (40–64 years), not achieving recommended levels of activity & wishing to have more support for PA

Non-probability sample

Analytical n: mini booster n = 47, full booster n = 52, control = 61

Three-arm, parallel arm RM RCT

Arms:

1. Full intervention

2. Partial intervention

3. Control

Type: PA consultations, using motivational interviewing (Sheffield Physical Activity Booster Trial)

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: No

Length: Brief (motivational DVD mailed to participants) & 2 follow up monthly phone calls

Postcode centroid

Pedestrian access to municipal parks, swimming pools, & gyms using network distance analysis

Accelerometer

Measured at baseline, 3 & 9 months

Domain(s):

Non-specific

PA type(s):

Total PA

No significant interactions between any BE variables & intervention arm in relation to energy expenditure at 3-months (9-month results not tested) [ Invariant ]

Hays et al. (2016) [ 35]

Indianapolis, Indiana, USA

Inner city with risk of diabetes, ≥18 years

Non-probability sample

Analytical n = 216

Two-arm RM RCT

Arm:

1. Full intervention

2. Partial intervention

Type: Brief counselling plus a grouped-based diabetes prevention program

(RAPID)

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 24 months (16 × 60–90 min sessions)

Walkability index (Walk Score®) & Normalized Differential Vegetation index (NDVI) at census tract-level

Accelerometer

Measured at baseline, 6, 12, & 24-months

Domain(s):

Non-specific

PA type(s):

MVPA

No “BE x intervention interaction” tested. Separate estimates for intervention arm not presented (i.e., full & partial intervention pooled estimates).

Higher NDVI was associated with increases in MVPA over time (b = − 115.03, p < .05). [ Amplification ]

Kerr et al. (2010) [ 36]

San Diego County, USA

Overweight women (18–55 years) & men (25–55 years)

Non-probability sample

Analytical n: men = 89/ women = 83)

Two-arm pre-post RCT

Arms:

1. Intervention

2. Standard care

(some differences in interventions delivered to men vs. women)

Type: Computer-facilitated personalized action plan with brief counselling (PACE) – intervention delivery differed by sex.

Exercise sessions: No

Counselling: No

Awareness/education: Yes

Group-based activities: No

Length: 12 months

1600 m network buffer around home.

Walkability index (residential density, intersection density, land use mix, retail floor area ratio).

Self-reported

Measured at baseline & 12 months.

Domain(s):

Non-specific

PA type(s):

Walking

Men: “Time x arm x walkability” interaction significantly associated with change in daily walking duration.

Intervention arm in low walkable neighbourhoods increased walking by 29-min/day [ Compensation ] versus intervention arm in high walkable neighbourhoods where walking decreased by 10-min/day [Suppression]. No change in walking for control arm regardless of neighbourhood walkability

Women: No significant “time x arm x walkability” interaction. [ Invariant ]

King et al. (2017) [ 37]

4 sites: Texas, California, Pennsylvania, & North Carolina, USA

Sedentary, at major risk for mobility disability, 70–89 years.

Non-probability sample

Analytical n = 400

Two-arm pre-post RCT

Arms:

1. Intervention

2. Health education

Type: Centre-based (supervised) & home-based aerobic activities, strength training, flexibility, & balance exercises (LIFE-Pilot)

Exercise sessions: Yes

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 12 months (adoption phase: 2 months × 3 × 40-60 min session/wk.; transitional phase: 4 months 2 × 40-60 min session/wk.; maintenance phase: 6 months x optional 1–2 × 40-60 min session/wk)

250 m buffer around home.

Walkability index (residential density, intersection density, land use mix, retail to floor area ratio)

Self-reported

Measured at baseline & 12-months

Domain(s):

Leisure/recreation

Transport/errands

PA type(s):

Walking

No significant “arm x walkability” interaction associated with exercise/leisure walking. [ Invariant ]

“Arm x walkability” interaction approached significance for weekly duration of walking for errands (p = .07). In low walkable neighbourhoods, walking for errands decreased by 15.4 min/week in intervention arm and increased by 8.7 min/week in health education arm (p < .01 for between arm difference). No between arm differences in walking for errands among high walkable neighbourhoods. However, results figures showed similar declines in walking for errands in intervention arm for both low and high walkable neighbourhoods. [Invariant]

Lee et al. (2012) [ 38]

Houston & Austin, USA

African American, Hispanic or Latino women, 25–60 years

Non-probability sample

Analytical n = 309

Two-arm pre-post RCT

Arms:

1 PA Intervention

2. Nutrition intervention

Type: Group/team facilitated session & activity with personalized behaviour change plans (Health is Power)

Exercise sessions: Yes

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 6 months (6 group sessions)

400 m radial buffer around homes.

Pedestrian environmental data scan (audit of street segments): features & facilities related to walking & cycling (e.g., indicators of land use, connectivity, lighting, articulation, road attributes, safety attractiveness, sidewalks, & amenities)

Self-reported & accelerometer

Measured at baseline & 6-months

Domain(s):

Non-specific

PA type(s):

MVPA (accelerometer)

Total PA (self-report)

Walking (self-report)

“Arm x BE” interaction significantly associated with post-intervention self-reported walking (number of traffic control devices & number of amenities) & total PA (number of crossing aids & number of amenities), but not with accelerometer-PA.

Positive association between number of traffic control devices and post walking in PA group relative to a negative association in nutrition group (b = − 0.80, p < .05)

[Amplification in PA arm]

Positive association between number of crossing aids and post total PA in PA group relative to a negative association in nutrition group (b = − 0.46, p < .05)

[Amplification in PA arm]

Negative association between number of amenities and post walking in PA group relative to a positive association in nutrition group (b = 0.45, p < .05)

[Suppression in PA arm]

Negative association between number of amenities and post total PA in PA group relative to a positive association in nutrition group (b = 0.33, p < .05)

[Suppression in PA arm]

Lo et al. (2019) [ 39]

Montana & New York, USA (rural)

Sedentary overweight women, ≥40 years.

Non-probability sample

Analytical n = 151

Two-arm pre-post clustered RCT

Arms:

1. Full intervention

2. Partial intervention

Type: Multi-component, class-based exercise with motivational interviewing & awareness raising (Strong Hearts, Healthy Communities)

Exercise sessions: Yes

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 6 months (2 sessions/wk)

Walkability index (Walk Score®)

Accelerometer

Measured at baseline & 6 months

Domain(s):

Non-specific

PA type(s):

MVPA

“Arm x Walk Score®” interaction not significantly associated with post-intervention daily minutes of MVPA or percent of MVPA. However, in neighbourhoods with a Walk Score® = 0, change in minutes (11.7 min/day) & percent (1.5%) of MVPA was significantly (p < .05) higher in intervention arm than change in minutes (−0.8 min/day) & percent (− 0.1%) of MVPA in control arm. No other between arm differences found for other Walk Score® levels.

[Likely Compensation]

McGowan et al. (2017) [ 40]

Edmonton, Canada

Prostate cancer survivors, ≥18 years

Probability sample

Analytical n = 165

Three-arm RM RCT

Arms:

1. Intervention (self-administered implementation intention; SAII),

2. Intervention (telephone-assisted implementation intention; TAII)

3. Brief information (PA factsheet: SPAR)

Type: Individual-based, no group sessions, information provided, no PA or exercise sessions (PROMOTE).

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: No

Length: Single session

500 m/1000 m network buffers around homes.

Walkability index (intersection density, residential density, & land use mix). Count of sport complexes (included facilities for indoor/outdoor activities)

Self-reported

Measured at baseline, 1 & 3 months

Domain(s):

Leisure/recreation

PA type(s):

Total PA

“Time x arm x BE” interactions not significantly associated with minutes of self-reported weekly PA nor achievement of 150 minutes/week. [ Invariant ]

Michael & Carlson (2009) [ 41]

Portland, USA

Mobility non-restrictive, cognitively sound adults not enrolled in formal exercise programs, ≥65 years.

Probability sample

Analytical n = 582

Two-arm RM clustered RCT

Arms:

1. Intervention

2. Education only

Type: Led walking groups (SHAPE)

Exercise sessions: Yes

Counselling: No

Awareness/education: No

Group-based activities: Yes

Length: 6 months (3 sessions/wk)

400 m/800 m radial buffer around home.

Walkability index (e.g., sidewalk coverage, connectivity, public transportation access, distribution of parks/green space, & level of automobile traffic volume).

Self-reported

Measured at baseline, 3, & 6-months

Domain(s):

Non-specific

PA type(s):

Walking

“Arm x walkability” interaction not significantly associated with weekly minutes of brisk walking measured at 6-months. [ Invariant ]

Riley et al. (2013) [ 42]

Ottawa, Canada

≥1 modifiable CHD behavioral risk factor, 20–80 years, with relative hospitalized for CHD in past 5-years

Non-probability sample

Analytical n = 230

Two-arm pre-post RCT.

Arms:

1. Intervention

2. Standard care

Type: Individual counselling sessions with a personalized behavior change plan (Family Heart Health)

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: No

Length: 12 weeks (1 in-person counselling session, followed by 12 weekly telephone calls)

Spatially defined neighbourhoods

Walkability index (Walk Score®) & Walkability index (intersection density, residential density, retail floor area ratio & land use mix)

Self-reported

Measured at baseline & 12-weeks

Domain(s):

Leisure/recreation

PA type(s):

MVPA

“Arm x Walk Score®” interaction not significantly associated with meeting the PA guidelines at 12 weeks (≥150 min/week of MVPA).

[ Invariant ]

“Arm x walkability index” interaction not significantly associated with meeting the PA guidelines at 12-weeks (≥150 min/week of MVPA).

[ Invariant ]

Robertson et al. (2012) [ 43]

Glasgow, Scotland, UK

Insufficiently active, 18–65 years

Non-probability sample

Analytical n = 45

Two-arm RM RCT

Arms:

1. Full intervention

2. Partial intervention

Type: Pedometer facilitated individualized walking program (Walking for Well-Being in the West)

Exercise sessions: Yes

Counselling: Yes

Awareness/education: Yes

Group-based activities: No

Length: 3 months

400 m radial buffer around home but also tested 1600 m.

Street audits using the Scottish Walkability Assessment Tool (SWAT) & GIS measures (green space & recreation facilities, commercial & residential land use mix, dangerous & busy roads, pathway features other than safety, pathway safety features, roads & bus stops indoor fitness facilities & traffic calming features, traffic signals & pedestrian signage). Factors created.

Pedometer

Measured at baseline, 3, 6, & 12-months

Domain(s):

Non-specific

PA type(s):

Steps

Separate estimates for intervention arm not presented (i.e., full & partial intervention pooled estimates)

Dangerous & busy roads factor was negatively associated with step count at 3-months (b = −0.28, p < .05) and 6-months (b = − 0.31, p < .05). [Amplification]

Commercial & residential land use factor was positively associated with step counts at 6-months (b = 0.40, p < .05) and 12-months (b = 0.30, p = .05)

[ Amplification ]

Traffic signals & pedestrian signage factor was negatively associated with step count at 6-months (b = − 0.30, p < .05).

[Amplification]

Indoor fitness facilities & traffic calming features factor was positively associated with step counts at 6-months (b = 0.27, p < .05).

[ Amplification ]

Green space & recreation facilities factor was negatively associated with step counts at 12-months (b = − 0.34, p < .05)

[ Suppression ]

Pathway features other than safety factor, Pathways safety features factor, & Roads & bus stop factor not associated with steps at any period. [ Invariant ]

Zenk et al. (2009) [ 44]

Chicago, USA

Sedentary African American women, no signs/symptoms of CVD, 40–65 years

Non-probability sample

Analytical n = 252

Two-arm post measure quasi-experiment

Arms:

1. Full intervention

2. Partial intervention

Type: Walking program, including walking prescription, plus motivational workshops (The Women’s Walking Program)

Exercise sessions: Yes

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 12 months (24 week adoption phase including weekly motivation workshops & 24 week maintenance phase including weekly or bi-weekly telephone calls)

1600 m radial buffer around home.

Walkability index (land use mix, street connectivity, housing unit density, public transit stop density);

Aesthetics; physical deterioration; industrial land use; availability of outdoor facilities & spaces; percentage of recreational open space area; indoor facilities; presence of public recreation center with indoor track or treadmill & shopping mall.

Self-reported & heart rate monitoring

Measured post-intervention (i.e., accumulated PA)

Domain(s):

Non-specific

PA type(s):

Prescribed walks completed

No significant interactions between arm & any BE variables related to adherence to the program during the adoption phase. [ Invariant ]

Separate estimates for intervention arm not presented (i.e., full & partial intervention pooled estimates).

Presence of either a public recreation center with treadmill or indoor track or indoor shopping mall within 5 miles was associated with higher walking adherence relative to no facility present (b = 0.39, p < .05).

[Amplification]

Walkability not significantly associated with walking adherence (b = − 0.12, p > .05).

[Invariant]

Barnes et al. (2013) [ 45]

Perth, Australia

General population, 20–54 years

Probability sample

Analytical n: pre-interventio n = 466, post-intervention = 360)

One-arm pre-post quasi-experiment (repeated cross-sectional surveys)

All participants exposed to intervention

Type: Mass media ( Find Thirty Every Day )

Exercise sessions: No

Counselling: No

Awareness/education: Yes

Group-based activities: No

Length: 12 months

1600 m network buffer around home

Recreational walkability index (dwelling density, street connectivity, & land use mix)

Self-reported

Measured at pre & post intervention

Domain(s):

Transport/errands

Non-specific

PA type(s):

Total PA

Walking

“Time x walkability” interaction not significantly associated with any PA outcomes. However, adults from low walkable neighbourhoods were less likely to report any transport walking post vs. pre intervention (OR = 0.7, p < .05) while there was no significant change among those in high walkable neighbourhoods (OR = 0.9, p > .05). [Likely suppression]

Adults from low walkable neighbourhoods were more likely to report sufficient PA post vs. pre intervention (OR = 1.4, p < .05) while there was no significant change among those in high walkable neighbourhoods (OR = 1.6, p > .05). [Likely invariant]

Consoli et al. (2020) [ 46]

Calgary, Canada

Inactive, ≥18 years

Non-probability sample

Analytical n = 466

One-arm pre-post quasi-experiment

All participants received intervention

Type: Internet-facilitated pedometer intervention

(UWALK)

Exercise sessions: No

Counselling: No

Awareness/education: Yes

Group-based activities: No

Length: 3 months

Walkability index (Walk Score®)

Pedometer

Measured post-intervention (i.e., accumulated PA)

Domain(s):

Non-specific

PA type(s):

Steps

Walk Score® was not associated with count of days steps recorded (IRR = 1.0, p > .05), achievement of 10,000 steps/day (IRR 1.0, p > .05), or daily steps during the intervention (b = 4.0, p > .05).

[ Invariant ]

Garmendia et al. (2013) [ 47]

Santiago, Chile

Residents of low socioeconomic county that had more than 400 persons (65–67.9 yrs)

Non-Probability sample

Analytical n = 996

Original design included a multi-arm RM experiment but results for only one arm included in the analysis.

All participants received a PA intervention

Type: Physical activity group exercise sessions

Exercise sessions: Yes

Counselling: No

Awareness/education: No

Group-based activities: Yes

Length: 24 months (2 × 1 hr. sessions/wk)

Predefined neighbourhoods in Observatory of the Government of Chile

Distance from home to the PA center (where activities were undertaken), and well-kept community green areas (m2/inhabitant)

Recorded

Measured at 24 months

Domain(s):

Leisure/recreation

PA type(s):

Attendance at PA sessions (≥24 sessions)

Distance from home to the PA center not significantly associated with adherence to intervention (OR = 1.0, p > 0.2).

[ Invariant ]

Adherence was positively associated with neighbourhood area of well-kept green spaces (OR = 1.2, p < .01)

[ Amplification ]

Goyder et al. (2016) [ 48]

Sheffield, UK

Sedentary, from SES deprived neighbourhoods, 40–64 years

Non-probability sample

Analytical n = 941

One-arm pre-post quasi-experiment

All participants received intervention

Type: PA consultations, using motivational interviewing (Sheffield Physical Activity Booster Trial)

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: No

Intervention length: Brief (motivational DVD mailed to participants) & 2 follow up monthly phone calls

Shortest pedestrian network distance to: greenspace, gyms & pools from home.

Self-reported

Measured at baseline & 3-months

Domain(s):

Non-specific

PA type(s):

Total PA

BE variables were not significantly (p > .05) associated with the likelihood of increasing PA due to intervention (gym: OR = 1.0; greenspace: 0.9; pool: OR = 0.9). [ Invariant ]

Hino et al. (2019) [ 49]

Yokohoma City, Japan

General population, ≥40 years

Probability sample

Analytical n = 2023

One-arm pre-post quasi-experiment

All participants received intervention

Type: Pedometer facilitated walking program (Yokohama Walking Point Program)

Exercise sessions: No

Counselling: No

Awareness/education: Yes

Group-based activities: Yes

Length: ~ 30 months

Distance to nearest railway station from center of each participant’s neighbourhood, & neighbourhood bus stop density.

Self-reported

Measured post-intervention (i.e., accumulated PA)

Domain(s):

Non-specific

PA type(s):

Relative change in daily step count due to program

Bus stop density was positively associated with an increase in step counts due to the program (b = 0.04, p < .01). [ Amplification ]

Distance to nearest railway station was not associated with an increase in step counts due to the program (b = 0.02, p < .05).

[Invariant]

Hino et al. (2021) [ 50]

Yokohoma City, Japan

General population, ≥40 years

Probability sample

Analytical n = 47,233

One-group pre-post quasi-experiment

All participants received intervention

Type: Pedometer facilitated walking program (Yokohama Walking Point Program)

Exercise sessions: No

Counselling: No

Awareness/education: Yes

Group-based activities: Yes

Length: ~ 53 months

Distance to nearest railway station, & neighbourhood population density & intersection density.

Pedometer

Measured post-intervention (i.e., accumulated PA)

Domain(s):

Non-specific

PA type(s):

Steps

Participants living furthest from a railway station (quartiles 1) undertook fewer daily steps than those living closer (quartile 2, 3 & 4) in spring (differences = − 289,- 464, & -400, all p < .0001), summer (differences = 286, 498, 515, all p < .0001), autumn (differences = − 277, − 436, & -386, all p < .0001), & winter (differences = − 268, − 426, & -363, all p < .0001). [ Amplification ]

Participants living in neighbourhoods with lowest population density (quartiles 1) undertook fewer daily steps than those in higher density neighbourhoods (quartiles 2, 3 & 4) in spring (differences = − 126, − 232, & -354, all p < .05), summer (differences = − 173, − 321 & -433 all p < .001), autumn (differences = − 154, − 272, & -378, all p < .01), & winter (differences = − 145, − 255 & -345, all p < .01).

[ Amplification ]

There were no significant differences in daily steps based on neighbourhood intersection density quartile in any season.

[Invariant]

Jilcott et al. (2017) [ 51]

Lenoir County, North Carolina, USA (rural)

Patients with high blood pressure, ≥18 years

Non-probability sample

Analytical n = 249

One-arm pre-post quasi-experiment

All participants received intervention

Type: Individual or group counselling (Healthy Heart Lenoir)

Exercise sessions: No

Counselling: Yes

Awareness/education: Yes

Group-based activities: Yes

Length: 4 months (1 session/month)

1600 m network buffer around home.

Walkability index (Walk Score®), density & distance to closest PA venues (parks, trails, & gyms) & food environment

Self-reported activity logs, & pedometer.

Measured at baseline & 6-months

Domain(s):

Non-specific

PA type(s):

Total PA

Steps

Increased distance (miles) to private gyms was associated with a larger increase in 6-month change in total PA (b = 31.7, p < .05)

[Suppression]

Increased density of private gyms was associated with a lower increase in 6-month change in daily steps (b = − 491.1, p < 05).

[Suppression ]

  1. b beta coefficient, OR odds ratio, IRR Incidence rate ratio
  2. aEffect estimates presented were extracted from the original study and rounded